AWS Glue Services
Learn AWS Glue, serverless ETL, data cataloging, data integration, PySpark, and automated data pipelines on Amazon Web Services.
Course Description
The AWS Glue Services Training Program introduces learners to serverless data integration and ETL processing using Amazon Web Services. Students will understand how AWS Glue helps collect, organize, transform, and prepare data for analytics.
The course covers AWS Glue architecture, crawlers, Data Catalog, ETL jobs, Glue Studio, PySpark, data connections, and workflow automation. Learners will gain practical experience in creating serverless ETL pipelines and managing data across different AWS services.
This course is suitable for learners who want to develop cloud data engineering skills using AWS technologies.
Trainer
N
Navdeep Singh
Data Analytics and Enterprise Data Architecture
20 years experience
Experienced Data Analytics Trainer with expertise in transforming raw data into actionable business insights. Skilled in data visualization, statistical analysis, business intelligence, and reporting....
Technologies Covered
AWS Glue
Amazon S3
AWS Glue Data Catalog
AWS Glue Crawlers
PySpark
Python
Amazon Athena
AWS IAM
ETL Pipelines
Projects
- Serverless ETL Pipeline Using AWS Glue
- S3 Data Processing and Transformation
- AWS Data Catalog Implementation
- Cloud-Based Sales Data Integration
FAQ
AWS Glue is a serverless data integration service used to discover, prepare, transform, and move data between different data sources
Python knowledge is beneficial because AWS Glue supports PySpark and Python-based ETL development.
Learners can explore roles such as AWS Data Engineer, Cloud Data Engineer, ETL Developer, and Big Data Developer.